Range-doppler radar target detection using denoising ... - IEEE Xplore

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of inherently sparse nature of signals in range-Doppler do- main [6], [7]. In many practical cases, the ambiguity function turns out to be very noisy. In this paper ...
RANGE-DOPPLER RADAR TARGET DETECTION USING DENOISING WITHIN THE COMPRESSIVE SENSING FRAMEWORK R. Akin Sevimli, Mohammad Tofighi, A. Enis Cetin Department of Electrical and Electronics Engineering, Bilkent University, Ankara,Turkey {sevimli, tofighi}@ee.bilkent.edu.tr, [email protected] ABSTRACT

follows [8]:

Compressive sensing (CS) idea enables the reconstruction of a sparse signal from a small set of measurements. CS approach has applications in many practical areas. One of the areas is radar systems. In this article, the radar ambiguity function is denoised within the CS framework. A new denoising method on the projection onto the epigraph set of the convex function is also developed for this purpose. This approach is compared to the other CS reconstruction algorithms. Experimental results are presented1 . Index Terms— Compressive Sensing, Ambiguity Function, Radar Signal Processing, Denoising.

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